Learning analytics is a fast-growing discipline. Institutions and countries alike are racing to harness the power of using data to support students, teachers and stakeholders. Research in the field has proven that predicting and supporting underachieving students is worthwhile. Nonetheless, challenges remain unresolved, for example, lack of…

Profile analysis is one of the main tools for studying whether differential item functioning can be related to specific features of test items. While relevant, profile analysis in its current form has two restrictions that limit its usefulness in practice: It assumes that all test items have equal discrimination parameters, and it does not test…

Attrition in longitudinal studies is a major threat to the representativeness of the data and the generalizability of the findings. Typical approaches to address systematic nonresponse are either expensive and unsatisfactory (e.g., oversampling) or rely on the unrealistic assumption of data missing at random (e.g., multiple imputation). Thus,…

Much of learning analytics research has focused on factors influencing model generalizability of predictive models for academic performance. The degree of model generalizability across courses may depend on aspects, such as the similarity of the course setup, course material, the student cohort, or the teacher. Which of these contextual factors…

A conceptual confusion of "theory" exists in South African Open Distance and e-Learning (ODeL) research in which the concept is used with borderline, related, contrary, invented, or illegitimate concepts such as a model, approach, construct, hypothesis, theoretical framework, or conceptual framework. As a result, some researchers choose…

Conscientiousness and interest are well-known predictors of academic effort and achievement. As hypothesized by the Conscientiousness × Interest Compensation (CONIC) model, conscientiousness and interest can (partly) compensate for each other, leading to (comparatively) high effort if either conscientiousness or interest is high. The present…

e-Learning acceptance has received considerable attention in the educational technology literature. In recent years, many frameworks have been proposed, modified, and applied to better understand the factors underlying students' acceptance of e-learning. Despite the important progress made with the acceptance literature, extant empirical…

Background: Africa is increasingly becoming an important region for health research, mainly due to its heavy burden of disease, socioeconomic challenges, and inadequate health facilities. Regulatory capacities, in terms of ethical review processes, are also generally weak. The ethical assessment of social and behavioral research is relatively…

The extant literature has largely ignored a potentially significant source of variance in multiple mini-interview (MMI) scores by "hiding" the variance attributable to the sample of attributes used on an evaluation form. This potential source of hidden variance can be defined as rating items, which typically comprise an MMI evaluation…

The dimensional comparison theory (DCT) focuses on the effects of internal, dimensional comparisons (e.g., "How good am I in math compared to English?") on academic self-concepts with widespread consequences for students' self-evaluation, motivation, and behavioral choices. DCT is based on the internal/external frame of reference model…

The trans-contextual model outlines the processes by which autonomous motivation toward activities in a physical education context predicts autonomous motivation toward physical activity outside of school, and beliefs about, intentions toward, and actual engagement in, out-of-school physical activity. In the present article, we clarify the…

A central problem in the application of exploratory factor analysis is deciding how many factors to retain ("m"). Although this is inherently a model selection problem, a model selection perspective is rarely adopted for this task. We suggest that Cudeck and Henly's (1991) framework can be applied to guide the selection process.…

The multiple mini-interview (MMI) has become an increasingly popular admissions method for selecting prospective students into professional programs (e.g., medical school). The MMI uses a series of short, labour intensive simulation stations and scenario interviews to more effectively assess applicants' non-cognitive qualities such as…

Fidelity assessment has received renewed attention in recent years, particularly as distinctions have been made in implementation science between intervention fidelity and implementation fidelity. Considering both types of fidelity has been recommended when developing fidelity instruments. In the present article, we describe development of the…

Fidelity assessment has received renewed attention in recent years, particularly as distinctions have been made in implementation science between intervention fidelity and implementation fidelity. Considering both types of fidelity has been recommended when developing fidelity instruments. In the present article, we describe development of the…